Open Access

Table 2

Results of linear regression fit of TSI versus dark sunspot and bright facular signals using SFO/CFDT2 sunspot data and varying the facular signals.

CFDT2 comparisons of 2-component TSI models

Feature identification methodPhotometric sum method

Regression componentsR2, A, B, CRegression componentsR2, A, B, C
SDO 160 nm (812 data points)
(sunspot deficit + cfdt1 K)R2 = 0.8267r + cfdt1 ΣK)R2 = 0.8819
A = 1360.723, B = 0.0019, C = 0.000240A = 1360.612, B = 0.00137, C = 0.000153
(sunspot deficit + composite K)R2 = 0.8364r + composite ΣK)R2 = 0.8848
A = 1360.702, B = 0.00199, C = 0.000247A = 1360.669, B = 0.00137, C = 0.000158
(sunspot deficit + cfdt2 K)R2 = 0.8337r + cfdt2 ΣK)R2 = 0.8809
A = 1360.724, B = 0.00198, C = 0.000260A = 1360.673, B = 0.00136, C = 0.000165
(sunspot deficit + SDO 160)R2 = 0.7237r + SDO Σ160)R2 = 0.8155
A = 1358.685, B = 0.00165, C = 1.66E−5A = 1359.689, B = 0.00144, C = 1.39E−5
SDO 170 nm (782 data points)
(sunspot deficit + cfdt1 K)R2 = 0.8278r + cfdt1 ΣK)R2 = 0.8822
A = 1360.723, B = 0.00199, C = 0.000240A = 1360.612, B = 0.00137, C = 0.000153
(sunspot deficit + composite K)R2 = 0.8374r + composite ΣK)R2 = 0.8851
A = 1360.702, B = 0.00199, C = 0.000248A = 1360.670, B = 0.00137, C = 0.000165
(sunspot deficit + cfdt2 K)R2 = 0.8347r + cfdt2 ΣK)R2 = 0.8812
A = 1360.724, B = 0.00198, C = 0.000260A = 1360.675, B = 0.00137, C = 0.000165
(sunspot deficit + SDO 170)R2 = 0.8536r + SDO Σ170)R2 = 0.8912
A = 1357.985, B = 0.0018, C = 2.69E−5A = 1359.500, B = 0.00150, C = 2.092E−5

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